60 citations · 234 across the 39 of their papers we have counts for
4 papers · 1 filter
Computing the asymptotic power of a Euclidean-distance test for goodness-of-fit
William Perkins, Gary Simon, Mark Tygert
A natural (yet unconventional) test for goodness-of-fit measures the discrepancy between the model and empirical distributions via their Euclidean distance (or, equivalently, via i…
A comparison of the discrete Kolmogorov-Smirnov statistic and the Euclidean distance
Jacob Carruth, Mark Tygert, Rachel Ward
Goodness-of-fit tests gauge whether a given set of observations is consistent (up to expected random fluctuations) with arising as independent and identically distributed (i.i.d.)…
An introduction to how chi-square and classical exact tests often wildly misreport significance and how the remedy lies in computers
William Perkins, Mark Tygert, Rachel Ward
Goodness-of-fit tests based on the Euclidean distance often outperform chi-square and other classical tests (including the standard exact tests) by at least an order of magnitude w…
Testing the significance of assuming homogeneity in contingency-tables/cross-tabulations
Mark Tygert
The model for homogeneity of proportions in a two-way contingency-table/cross-tabulation is the same as the model of independence, except that the probabilistic process generating…